Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_3
multiberts-seed_3-step_600k
Instructions to use google/multiberts-seed_3-step_600k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_3-step_600k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_3-step_600k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_3-step_600k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b51d7aafaa36efa169d100368c06b179d850d0f2aabbac28df191735715e38a
- Size of remote file:
- 441 MB
- SHA256:
- f55f2997db43372626a5e0a74b7425b1edb3c4a7cefcc34c53950132a6ea1c8d
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